{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T14:25:37Z","timestamp":1793715937011,"version":"4.6.1"},"reference-count":32,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T00:00:00Z","timestamp":1724630400000},"content-version":"vor","delay-in-days":25,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Medical Virology"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Establishing reliable noninvasive tools to precisely diagnose clinically significant liver fibrosis (SF, \u2265F2) remains an unmet need. We aimed to build a combined radiomics\u2010clinic (CoRC) model for triaging SF and explore the additive value of the CoRC model to transient elastography\u2010based liver stiffness measurement (FibroScan, TE\u2010LSM). This retrospective study recruited 595 patients with biopsy\u2010proven liver fibrosis at two centers between January 2015 and December 2021. At Center 1, the patients before December 2018 were randomly split into training (276) and internal test (118) sets, the remaining were time\u2010independent as a temporal test set (96). Another data set (105) from Center 2 was collected for external testing. Radiomics scores were built with selected features from Deep learning\u2010based (ResUNet) automated whole liver segmentations on MRI (T2FS and delayed enhanced\u2010T1WI). The CoRC model incorporated radiomics scores and relevant clinical variables with logistic regression, comparing routine approaches. Diagnostic performance was evaluated by the area under the receiver operating characteristic curve (AUC). The additive value of the CoRC model to TE\u2010LSM was investigated, considering necroinflammation. The CoRC model achieved AUCs of 0.79 (0.70, 0.86), 0.82 (0.73, 0.89), and 0.81 (0.72\u20100.91), outperformed FIB\u20104, APRI (all <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05) in the internal, temporal, and external test sets and maintained the discriminatory power in G0\u20101 subgroups (AUCs range, 0.85\u20130.86; all <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05). The AUCs of joint CoRC\u2010LSM model were 0.86 (0.79\u20130.94), and 0.81 (0.72\u20130.90) in the internal and temporal sets (<jats:italic>p<\/jats:italic>\u2009=\u20090.01). The CoRC model was useful for triaging SF, and may add value to TE\u2010LSM.<\/jats:p>","DOI":"10.1002\/jmv.29882","type":"journal-article","created":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T10:19:51Z","timestamp":1724667591000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Fully automated hybrid approach on conventional MRI for triaging clinically significant liver fibrosis: A multi\u2010center cohort study"],"prefix":"10.1002","volume":"96","author":[{"given":"Jun\u2010hao","family":"Zha","sequence":"first","affiliation":[{"name":"Department of Radiology, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging &amp; Interventional Radiology (Southeast University), Zhongda Hospital Medical School of Southeast University Nanjing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian\u2010yi","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Radiology, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging &amp; Interventional Radiology (Southeast University), Zhongda Hospital Medical School of Southeast University Nanjing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi\u2010yuan","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Radiology The Second Affiliated Hospital of Guangzhou University of Chinese Medicine Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian\u2010ying","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Radiology, West China Hospital Sichuan University Chengdu China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Radiology, First Affiliated Hospital, School of Medicine Zhejiang University Hangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging &amp; Interventional Radiology (Southeast University), Zhongda Hospital Medical School of Southeast University Nanjing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia\u2010ying","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Radiology, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging &amp; Interventional Radiology (Southeast University), Zhongda Hospital Medical School of Southeast University Nanjing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Cao","sequence":"additional","affiliation":[{"name":"Institute for AI in Medicine, School of Artificial Intelligence Nanjing University of Information Science and Technology Nanjing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan\u2010cheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging &amp; Interventional Radiology (Southeast University), Zhongda Hospital Medical School of Southeast University Nanjing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian\u2010yu","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging &amp; Interventional Radiology (Southeast University), Zhongda Hospital Medical School of Southeast University Nanjing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Song","sequence":"additional","affiliation":[{"name":"MR Scientific Marketing Siemens Healthineers Ltd. 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